Computational Algorithms for Predicting Jamming Phase Transitions in Stochastic Fiber Networks
Introduction to Stochastic Fiber Networks Stochastic fiber networks represent a highly complex class of mechanical metamaterials where the spatial distribution, orientation, and entanglement of constituent fibers are governed by probabilistic distributions rather than deterministic geometric blueprints. Unlike woven or braided architectures, which possess repeating unit cells and predictable load paths, stochastic networks—such as non-woven felts, … Read more